{"id":89948,"date":"2026-08-04T10:00:37","date_gmt":"2026-08-04T02:00:37","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/89948.html"},"modified":"2026-08-04T10:00:37","modified_gmt":"2026-08-04T02:00:37","slug":"%e9%9b%86%e5%90%88%e7%ab%9e%e4%bb%b7%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98%e5%ae%9e%e6%88%98%ef%bc%9a%e7%94%a8python%e6%9e%84%e5%bb%ba%e5%bc%80%e7%9b%98%e4%bf%a1%e5%8f%b7%e8%af%86%e5%88%ab%e7%b3%bb","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/89948.html","title":{"rendered":"\u96c6\u5408\u7ade\u4ef7\u6570\u636e\u6316\u6398\u5b9e\u6218\uff1a\u7528Python\u6784\u5efa\u5f00\u76d8\u4fe1\u53f7\u8bc6\u522b\u7cfb\u7edf"},"content":{"rendered":"

\u96c6\u5408\u7ade\u4ef7\u6570\u636e\u6316\u6398\u5b9e\u6218：\u7528Python\u6784\u5efa\u5f00\u76d8\u4fe1\u53f7\u8bc6\u522b\u7cfb\u7edf<\/p>\n

\u96c6\u5408\u7ade\u4ef7\u662f\u6bcf\u4e2a\u4ea4\u6613\u65e5\u5f00\u76d8\u524d\u768415\u5206\u949f，\u5f88\u591a\u4eba\u89c9\u5f97\u8fd9\u6bb5\u65f6\u95f4\u6ca1\u4ec0\u4e48\u4fe1\u606f\u91cf，\u5f00\u76d8\u4ef7\u51fa\u6765\u518d\u64cd\u4f5c\u4e5f\u4e0d\u8fdf\u3002\u4f46\u6211\u5b9e\u9645\u6d4b\u8bd5\u4e0b\u6765，\u96c6\u5408\u7ade\u4ef7\u9636\u6bb5\u7684\u6570\u636e\u5305\u542b\u4e86\u5927\u91cf\u6709\u4ef7\u503c\u7684\u4fe1\u53f7，\u7279\u522b\u662f\u5bf9\u65e5\u5185\u77ed\u7ebf\u4ea4\u6613\u6765\u8bf4\u3002\u8fd9\u7bc7\u6587\u7ae0\u5206\u4eab\u6211\u7528Python\u6784\u5efa\u7684\u96c6\u5408\u7ade\u4ef7\u4fe1\u53f7\u8bc6\u522b\u7cfb\u7edf\u3002<\/p>\n

\u96c6\u5408\u7ade\u4ef7\u5206\u4e24\u4e2a\u65f6\u95f4\u6bb5：9:15-9:20\u53ef\u4ee5\u7533\u62a5\u4e5f\u53ef\u4ee5\u64a4\u5355，9:20-9:25\u53ea\u80fd\u7533\u62a5\u4e0d\u80fd\u64a4\u5355，9:25\u4ea7\u751f\u5f00\u76d8\u4ef7\u3002\u8fd8\u6709\u4e00\u4e2a\u5c3e\u76d8\u96c6\u5408\u7ade\u4ef7\u662f14:57-15:00\u3002\u6211\u4e3b\u8981\u5206\u6790\u7684\u662f\u65e9\u76d8\u96c6\u5408\u7ade\u4ef7\u3002<\/p>\n

\u6570\u636e\u7528\u7684\u662f\u96c6\u5408\u7ade\u4ef7\u63a5\u53e3time\/real\/trace\/jhjj\/{dm}，\u8fd9\u4e2a\u63a5\u53e3\u5728\u96c6\u5408\u7ade\u4ef7\u65f6\u95f4\u6bb5\u6bcf1\u5206\u949f\u66f4\u65b0\u4e00\u6b21，\u8fd4\u56de\u7684\u5b57\u6bb5\u5305\u62ec\u7533\u62a5\u65f6\u95f4\u3001\u5339\u914d\u91cf\u3001\u672a\u5339\u914d\u91cf\u3001\u6807\u5fd7（1\u8868\u793a\u4e70\u5355，-1\u8868\u793a\u5356\u5355）\u3001\u6210\u4ea4\u4ef7\u3002\u6570\u636e\u6309\u65f6\u95f4\u5347\u5e8f\u6392\u5217\u3002<\/p>\n

import<\/span> json
\nimport<\/span> os
\nimport<\/span> pandas as<\/span> pd
\nimport<\/span> numpy as<\/span> np
\nfrom<\/span> collections import<\/span> defaultdict<\/p>\n

data_dir =<\/span> "D:\/stock_data"<\/span><\/p>\n

def<\/span> read_jhjj<\/span>(<\/span>dm)<\/span>:<\/span>
\n file_path =<\/span> os.<\/span>path.<\/span>join(<\/span>data_dir,<\/span> "time"<\/span>,<\/span> "real"<\/span>,<\/span> "trace"<\/span>,<\/span> "jhjj"<\/span>,<\/span> dm)<\/span>
\n if<\/span> not<\/span> os.<\/span>path.<\/span>exists(<\/span>file_path)<\/span>:<\/span>
\n return<\/span> None<\/span>
\n with<\/span> open<\/span>(<\/span>file_path,<\/span> "r"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span> as<\/span> f:<\/span>
\n data =<\/span> json.<\/span>load(<\/span>f)<\/span>
\n df =<\/span> pd.<\/span>DataFrame(<\/span>data)<\/span>
\n df.<\/span>columns =<\/span> [<\/span>"sbsj"<\/span>,<\/span> "ppl"<\/span>,<\/span> "wppl"<\/span>,<\/span> "bz"<\/span>,<\/span> "cjj"<\/span>]<\/span>
\n return<\/span> df<\/p>\n

\u5b57\u6bb5\u540d\u7ee7\u7eed\u7528\u7b80\u5199，sbsj\u662f\u7533\u62a5\u65f6\u95f4，ppl\u662f\u5339\u914d\u91cf，wppl\u662f\u672a\u5339\u914d\u91cf，bz\u662f\u6807\u5fd7（1\u4e70\u5355-1\u5356\u5355），cjj\u662f\u6210\u4ea4\u4ef7\u3002<\/p>\n

\u7b2c\u4e00\u4e2a\u4fe1\u53f7：\u96c6\u5408\u7ade\u4ef7\u653e\u91cf\u3002\u96c6\u5408\u7ade\u4ef7\u7684\u6210\u4ea4\u91cf\u5982\u679c\u8fdc\u8d85\u5e73\u65f6，\u8bf4\u660e\u5e02\u573a\u5bf9\u8fd9\u53ea\u80a1\u7968\u7684\u5173\u6ce8\u5ea6\u7a81\u7136\u63d0\u9ad8\u3002\u6211\u4f1a\u628a\u5f53\u5929\u7684\u96c6\u5408\u7ade\u4ef7\u91cf\u548c\u524d5\u4e2a\u4ea4\u6613\u65e5\u7684\u5e73\u5747\u96c6\u5408\u7ade\u4ef7\u91cf\u505a\u5bf9\u6bd4，\u5982\u679c\u8d85\u8fc72\u500d\u5c31\u6807\u8bb0\u4e3a"\u653e\u91cf"\u3002<\/p>\n

def<\/span> calc_volume_ratio<\/span>(<\/span>df_today,<\/span> history_volumes)<\/span>:<\/span>
\n today_vol =<\/span> df_today[<\/span>"ppl"<\/span>]<\/span>.<\/span>sum<\/span>(<\/span>)<\/span>
\n avg_vol =<\/span> np.<\/span>mean(<\/span>history_volumes)<\/span> if<\/span> history_volumes else<\/span> 0<\/span>
\n ratio =<\/span> today_vol \/<\/span> avg_vol if<\/span> avg_vol ><\/span> 0<\/span> else<\/span> 0<\/span>
\n return<\/span> ratio,<\/span> today_vol<\/p>\n

def<\/span> signal_volume<\/span>(<\/span>df_today,<\/span> history_volumes,<\/span> threshold=<\/span>2.0<\/span>)<\/span>:<\/span>
\n ratio,<\/span> vol =<\/span> calc_volume_ratio(<\/span>df_today,<\/span> history_volumes)<\/span>
\n if<\/span> ratio >=<\/span> threshold:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u96c6\u5408\u7ade\u4ef7\u653e\u91cf"<\/span>,<\/span> "ratio"<\/span>:<\/span> ratio,<\/span> "volume"<\/span>:<\/span> vol,<\/span> "score"<\/span>:<\/span> 65<\/span>}<\/span>
\n return<\/span> None<\/span><\/p>\n

\u7b2c\u4e8c\u4e2a\u4fe1\u53f7：\u96c6\u5408\u7ade\u4ef7\u4ef7\u683c\u8d70\u52bf\u30029:20\u52309:25\u4e4b\u95f4\u7684\u6210\u4ea4\u4ef7\u53d8\u5316\u6700\u6709\u53c2\u8003\u4ef7\u503c，\u56e0\u4e3a\u8fd9\u6bb5\u65f6\u95f4\u4e0d\u80fd\u64a4\u5355，\u7533\u62a5\u90fd\u662f\u771f\u5b9e\u7684\u3002\u5982\u679c\u8fd9\u6bb5\u671f\u95f4\u6210\u4ea4\u4ef7\u6301\u7eed\u4e0a\u5347，\u8bf4\u660e\u4e70\u76d8\u5728\u52a0\u5f3a；\u5982\u679c\u6301\u7eed\u4e0b\u964d，\u8bf4\u660e\u5356\u76d8\u5360\u4f18\u3002<\/p>\n

def<\/span> signal_price_trend<\/span>(<\/span>df_today)<\/span>:<\/span>
\n df_late =<\/span> df_today[<\/span>df_today[<\/span>"sbsj"<\/span>]<\/span> >=<\/span> "09:20:00"<\/span>]<\/span>.<\/span>copy(<\/span>)<\/span>
\n if<\/span> len<\/span>(<\/span>df_late)<\/span> <<\/span> 2<\/span>:<\/span>
\n return<\/span> None<\/span><\/p>\n

prices =<\/span> df_late[<\/span>"cjj"<\/span>]<\/span>.<\/span>values
\n first_price =<\/span> prices[<\/span>0<\/span>]<\/span>
\n last_price =<\/span> prices[<\/span>–<\/span>1<\/span>]<\/span><\/p>\n

if<\/span> first_price <=<\/span> 0<\/span>:<\/span>
\n return<\/span> None<\/span><\/p>\n

change =<\/span> (<\/span>last_price –<\/span> first_price)<\/span> \/<\/span> first_price<\/p>\n

if<\/span> change ><\/span> 0.02<\/span>:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u96c6\u5408\u7ade\u4ef7\u5c3e\u6bb5\u62c9\u5347"<\/span>,<\/span> "change"<\/span>:<\/span> change,<\/span> "score"<\/span>:<\/span> 70<\/span>}<\/span>
\n elif<\/span> change <<\/span> –<\/span>0.02<\/span>:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u96c6\u5408\u7ade\u4ef7\u5c3e\u6bb5\u4e0b\u632b"<\/span>,<\/span> "change"<\/span>:<\/span> change,<\/span> "score"<\/span>:<\/span> 30<\/span>}<\/span>
\n else<\/span>:<\/span>
\n return<\/span> None<\/span><\/p>\n

\u7b2c\u4e09\u4e2a\u4fe1\u53f7：\u672a\u5339\u914d\u91cf\u5806\u79ef\u30029:25\u65f6\u7684\u672a\u5339\u914d\u91cf\u80fd\u53cd\u6620\u4e70\u5356\u529b\u91cf\u7684\u5931\u8861\u3002\u5982\u679c\u672a\u5339\u914d\u4e70\u5355\u8fdc\u5927\u4e8e\u5339\u914d\u91cf，\u8bf4\u660e\u4e70\u76d8\u5f88\u5f3a\u4f46\u6ca1\u6210\u4ea4\u5b8c，\u5f00\u76d8\u540e\u53ef\u80fd\u7ee7\u7eed\u6da8\u3002\u53cd\u8fc7\u6765\u5982\u679c\u672a\u5339\u914d\u5356\u5355\u5806\u79ef，\u5f00\u76d8\u540e\u53ef\u80fd\u8dcc\u3002<\/p>\n

def<\/span> signal_unmatched<\/span>(<\/span>df_today)<\/span>:<\/span>
\n df_last =<\/span> df_today.<\/span>tail(<\/span>1<\/span>)<\/span>
\n if<\/span> len<\/span>(<\/span>df_last)<\/span> ==<\/span> 0<\/span>:<\/span>
\n return<\/span> None<\/span><\/p>\n

wppl =<\/span> df_last[<\/span>"wppl"<\/span>]<\/span>.<\/span>values[<\/span>0<\/span>]<\/span>
\n bz =<\/span> df_last[<\/span>"bz"<\/span>]<\/span>.<\/span>values[<\/span>0<\/span>]<\/span>
\n ppl =<\/span> df_last[<\/span>"ppl"<\/span>]<\/span>.<\/span>values[<\/span>0<\/span>]<\/span><\/p>\n

if<\/span> ppl <=<\/span> 0<\/span>:<\/span>
\n return<\/span> None<\/span><\/p>\n

ratio =<\/span> abs<\/span>(<\/span>wppl)<\/span> \/<\/span> ppl<\/p>\n

if<\/span> bz ==<\/span> 1<\/span> and<\/span> ratio ><\/span> 3<\/span>:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u672a\u5339\u914d\u4e70\u5355\u5806\u79ef"<\/span>,<\/span> "ratio"<\/span>:<\/span> ratio,<\/span> "score"<\/span>:<\/span> 68<\/span>}<\/span>
\n elif<\/span> bz ==<\/span> –<\/span>1<\/span> and<\/span> ratio ><\/span> 3<\/span>:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u672a\u5339\u914d\u5356\u5355\u5806\u79ef"<\/span>,<\/span> "ratio"<\/span>:<\/span> ratio,<\/span> "score"<\/span>:<\/span> 32<\/span>}<\/span>
\n return<\/span> None<\/span><\/p>\n

\u7b2c\u56db\u4e2a\u4fe1\u53f7：\u9ad8\u5f00\u5e45\u5ea6\u3002\u96c6\u5408\u7ade\u4ef7\u5f62\u6210\u5f00\u76d8\u4ef7，\u5982\u679c\u5f00\u76d8\u4ef7\u9ad8\u4e8e\u524d\u65e5\u6536\u76d8\u4ef73%\u4ee5\u4e0a，\u5c5e\u4e8e\u5927\u5e45\u9ad8\u5f00\u3002\u5927\u5e45\u9ad8\u5f00\u6709\u4e24\u79cd\u60c5\u51b5：\u4e00\u79cd\u662f\u5229\u597d\u6d88\u606f\u9a71\u52a8\u7684，\u540e\u7eed\u53ef\u80fd\u7ee7\u7eed\u6da8；\u53e6\u4e00\u79cd\u662f\u4e3b\u529b\u62c9\u9ad8\u51fa\u8d27\u7684，\u5f00\u76d8\u540e\u51b2\u9ad8\u56de\u843d\u3002\u533a\u5206\u8fd9\u4e24\u79cd\u60c5\u51b5\u9700\u8981\u7ed3\u5408\u6210\u4ea4\u91cf\u548c\u672a\u5339\u914d\u91cf\u3002<\/p>\n

def<\/span> signal_open_premium<\/span>(<\/span>df_today,<\/span> prev_close)<\/span>:<\/span>
\n if<\/span> prev_close <=<\/span> 0<\/span>:<\/span>
\n return<\/span> None<\/span><\/p>\n

open_price =<\/span> df_today[<\/span>"cjj"<\/span>]<\/span>.<\/span>iloc[<\/span>–<\/span>1<\/span>]<\/span>
\n premium =<\/span> (<\/span>open_price –<\/span> prev_close)<\/span> \/<\/span> prev_close<\/p>\n

vol_ratio,<\/span> _ =<\/span> calc_volume_ratio(<\/span>df_today,<\/span> [<\/span>]<\/span>)<\/span>
\n unmatched =<\/span> df_today.<\/span>tail(<\/span>1<\/span>)<\/span>[<\/span>"wppl"<\/span>]<\/span>.<\/span>values[<\/span>0<\/span>]<\/span>
\n unmatched_bz =<\/span> df_today.<\/span>tail(<\/span>1<\/span>)<\/span>[<\/span>"bz"<\/span>]<\/span>.<\/span>values[<\/span>0<\/span>]<\/span><\/p>\n

if<\/span> premium ><\/span> 0.03<\/span>:<\/span>
\n if<\/span> unmatched_bz ==<\/span> 1<\/span> and<\/span> unmatched ><\/span> 0<\/span>:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u653e\u91cf\u9ad8\u5f00+\u4e70\u76d8\u5806\u79ef"<\/span>,<\/span> "premium"<\/span>:<\/span> premium,<\/span> "score"<\/span>:<\/span> 72<\/span>}<\/span>
\n else<\/span>:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u9ad8\u5f00\u4f46\u4e70\u76d8\u4e0d\u8db3"<\/span>,<\/span> "premium"<\/span>:<\/span> premium,<\/span> "score"<\/span>:<\/span> 45<\/span>}<\/span>
\n elif<\/span> premium <<\/span> –<\/span>0.03<\/span>:<\/span>
\n return<\/span> {<\/span>"signal"<\/span>:<\/span> "\u4f4e\u5f00"<\/span>,<\/span> "premium"<\/span>:<\/span> premium,<\/span> "score"<\/span>:<\/span> 40<\/span>}<\/span>
\n return<\/span> None<\/span><\/p>\n

\u628a\u8fd9\u4e9b\u4fe1\u53f7\u6c47\u603b\u8d77\u6765，\u5c31\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u96c6\u5408\u7ade\u4ef7\u5206\u6790\u7cfb\u7edf\u3002<\/p>\n

def<\/span> analyze_jhjj<\/span>(<\/span>dm,<\/span> prev_close,<\/span> history_volumes)<\/span>:<\/span>
\n df =<\/span> read_jhjj(<\/span>dm)<\/span>
\n if<\/span> df is<\/span> None<\/span> or<\/span> len<\/span>(<\/span>df)<\/span> ==<\/span> 0<\/span>:<\/span>
\n return<\/span> None<\/span><\/p>\n

signals =<\/span> [<\/span>]<\/span><\/p>\n

s1 =<\/span> signal_volume(<\/span>df,<\/span> history_volumes)<\/span>
\n if<\/span> s1:<\/span>
\n signals.<\/span>append(<\/span>s1)<\/span><\/p>\n

s2 =<\/span> signal_price_trend(<\/span>df)<\/span>
\n if<\/span> s2:<\/span>
\n signals.<\/span>append(<\/span>s2)<\/span><\/p>\n

s3 =<\/span> signal_unmatched(<\/span>df)<\/span>
\n if<\/span> s3:<\/span>
\n signals.<\/span>append(<\/span>s3)<\/span><\/p>\n

s4 =<\/span> signal_open_premium(<\/span>df,<\/span> prev_close)<\/span>
\n if<\/span> s4:<\/span>
\n signals.<\/span>append(<\/span>s4)<\/span><\/p>\n

if<\/span> not<\/span> signals:<\/span>
\n return<\/span> {<\/span>"dm"<\/span>:<\/span> dm,<\/span> "score"<\/span>:<\/span> 50<\/span>,<\/span> "signals"<\/span>:<\/span> [<\/span>"\u65e0\u660e\u663e\u4fe1\u53f7"<\/span>]<\/span>}<\/span><\/p>\n

total_score =<\/span> np.<\/span>mean(<\/span>[<\/span>s[<\/span>"score"<\/span>]<\/span> for<\/span> s in<\/span> signals]<\/span>)<\/span><\/p>\n

return<\/span> {<\/span>
\n "dm"<\/span>:<\/span> dm,<\/span>
\n "score"<\/span>:<\/span> round<\/span>(<\/span>total_score,<\/span> 1<\/span>)<\/span>,<\/span>
\n "signals"<\/span>:<\/span> [<\/span>s[<\/span>"signal"<\/span>]<\/span> for<\/span> s in<\/span> signals]<\/span>
\n }<\/span><\/p>\n

\u5b9e\u9645\u4f7f\u7528\u7684\u65f6\u5019，\u6211\u4f1a\u5728\u6bcf\u59299:25\u8fd0\u884c\u8fd9\u4e2a\u7cfb\u7edf，\u904d\u5386\u5168\u5e02\u573a\u7684\u80a1\u7968，\u7b5b\u9009\u51fa\u7efc\u5408\u5f97\u5206\u8d85\u8fc765\u5206\u7684\u80a1\u7968\u4f5c\u4e3a\u5f53\u65e5\u89c2\u5bdf\u6c60\u3002\u7136\u540e\u914d\u5408\u5f00\u76d8\u540e\u7684\u5b9e\u65f6\u884c\u60c5\u505a\u6700\u7ec8\u51b3\u7b56\u3002<\/p>\n

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